R/data.R

In CRTConjoint: Conditional Randomization Testing (CRT) Approach for Conjoint Analysis

#' Immigration Choice Conjoint Experiment Data from Hainmueller et. al. (2014).
#'
#' This dataset is a subset of the first 1000 rows chosen from the original immigration dataset.
#' Each row consists of a pair of immigrant candidates that were shown to respondents.
#' The respondent then chooses either the left or right profile (main binary response) from
#' the nine profile factors shown for each candidate. Respondent characteristics are also recorded.
#' For example, the first row shows that the left immigrant candidate was a Male from Iraq
#' who had a high school degree, etc. while the right immigrant candidate was a Female from France
#' with no formal education, etc. The respondent who evaluated this task was a 20 year old
#' college educated White Male, who voted for the left immigrant candidate.
#'
#' @format A data frame with 1000 rows and 23 variables:
#' \describe{
#'   \item{FeatEd}{Education of left candidate containing levels: "College Degree", "Graduate Degree", "Eighth Grade", "Fourth Grade", "High School", "Two Years of College", and "No Education"}
#'   \item{FeatGender}{Gender of left candidate containing levels: "Female" and "Male"}
#'   \item{FeatCountry}{Country of origin of left candidate containing levels: "Poland", "France", "Iraq", "Somalia", "Sudan", "China", "Mexico", "Germany", "Philippines", and "India"}
#'   \item{FeatReason}{Reason for immigration of left candidate containing levels: "Escape political/religious persecution", "Reunite with family members", and "Seek better job"}
#'   \item{FeatJob}{Occupation of left candidate containing levels: "Waiter", "Child care provider", "Teacher", "Nurse", "Construction worker", "Janitor", "Gardener", "Financial analyst", "Computer programmer", "Research scientist", and "Doctor"}
#'   \item{FeatExp}{Job Experience of left candidate containing levels: "More than five years", "No job training", "One-two years", and "Three-five years"}
#'   \item{FeatPlans}{Job Plans of left candidate containing levels: "Does not contract with U.S. employer but have job interview", "No Contract", "No plans", and "Will look for work after arriving"}
#'   \item{FeatTrips}{Trips to U.S. of left candidate containing levels: "Entered U.S. once without legal authorization", "Entered U.S. once before on tourist visa", "Multiple visits on tourist visa", "Never visited", and "Spent six months with family in U.S."}
#'   \item{FeatLang}{Language of left candidate containing levels: "Used interpreter", "Broken English", "Unable to speak English", and "Fluent English"}
#'   \item{FeatEd_2}{Education of right candidate containing levels: "College Degree", "Graduate Degree", "Eighth Grade", "Fourth Grade", "High School", "Two Years of College", and "No Education"}
#'   \item{FeatGender_2}{Gender of right candidate containing levels: "Female" and "Male"}
#'   \item{FeatCountry_2}{Country of origin of right candidate containing levels: "Poland", "France", "Iraq", "Somalia", "Sudan", "China", "Mexico", "Germany", "Philippines", and "India"}
#'   \item{FeatReason_2}{Reason for immigration of right candidate containing levels: "Escape political/religious persecution", "Reunite with family members", and "Seek better job"}
#'   \item{FeatJob_2}{Occupation of right candidate containing levels: "Waiter", "Child care provider", "Teacher", "Nurse", "Construction worker", "Janitor", "Gardener", "Financial analyst", "Computer programmer", "Research scientist", and "Doctor"}
#'   \item{FeatExp_2}{Job Experience of right candidate containing levels: "More than five years", "No job training", "One-two years", and "Three-five years"}
#'   \item{FeatPlans_2}{Job Plans of right candidate containing levels: "Does not contract with U.S. employer but have job interview", "No Contract", "No plans", and "Will look for work after arriving"}
#'   \item{FeatTrips_2}{Trips to U.S. of right candidate containing levels: "Entered U.S. once without legal authorization", "Entered U.S. once before on tourist visa", "Multiple visits on tourist visa", "Never visited", and "Spent six months with family in U.S."}
#'   \item{FeatLang_2}{Language of right candidate containing levels: "Used interpreter", "Broken English", "Unable to speak English", and "Fluent English"}
#'   \item{ppage}{Respondent age (numeric variable)}
#'   \item{ppeducat}{Respondent education containing levels}
#'   \item{ppethm}{Respondent ethnicity}
#'   \item{ppgender}{Respondent gender}
#'   \item{Y}{Binary response variable Y: 1 if left profile is selected and 0 otherwise}
#' }
"immigrationdata"